ATS Hiring Velocity & Signal Feed

Turn public job boards into a hiring-intent signal — not another raw job scraper.

This Actor tracks companies' Greenhouse, Lever, and Ashby job boards and tells you what actually matters: what roles opened, what closed, the net hiring direction, a rolling 30-day velocity trend, and every new role tagged by seniority and function.

Companies expanding a team are actively buying tools, services, and headcount — and job postings are the most honest growth signal a company emits. Catch them first.

A company that raises its open postings 30%+ in a quarter is ~2.4x likelier to buy new software the next quarter (LinkedIn Economic Graph). This Actor surfaces exactly that signal — the delta, not a raw dump.

What you get

For every company, every run:

• open_count, opened, closed, net_change, velocity_pct
• a rolling hiring_signal label: strong_expansion → expanding → steady → cooling → contracting
• 30-day trend: opened_30d, closed_30d, net_change_30d, velocity_pct_30d
• new_by_function and new_by_seniority breakdowns
• (optional) one row per new role, tagged with seniority and function

Who it's for

• B2B sales / RevOps — spot accounts scaling a team (Engineering, Sales, Data…) and reach out before your competitors do
• Recruiters & staffing — companies opening lots of roles in your niche are warm leads
• Investors / market intel — track portfolio and competitor hiring velocity over time

Sources

Public JSON board feeds — Greenhouse, Lever, Ashby (Workable best-effort). No login, no CAPTCHAs, no personal data.

Input

Provide companies as <ats>:<token>, where the token is the board slug in the company's careers URL (boards.greenhouse.io/gitlab → greenhouse:gitlab):

{
  "companies": ["greenhouse:stripe", "ashby:openai", "lever:spotify"],
  "emitJobRecords": true,
  "classifier": "heuristic"
}

Comes pre-filled with a dozen high-growth tech companies so you can run it immediately. Optional classifier: "llm" uses any OpenAI-compatible endpoint for messy titles.

Output example

{
  "company": "stripe",
  "ats": "greenhouse",
  "open_count": 497,
  "opened": 12, "closed": 4, "net_change": 8, "velocity_pct": 1.6,
  "velocity_pct_30d": 21.4, "hiring_signal": "expanding",
  "new_by_function": { "Engineering": 6, "Sales": 3, "Product": 2 },
  "new_by_seniority": { "senior": 5, "mid": 4, "staff": 2 }
}

Velocity accumulates across scheduled runs: the first run sets a baseline (no false spike), and every run after tracks what changed. Schedule it daily or weekly to build a live hiring-intent feed.

Why this, not a raw job scraper

Everyone ships the current job list. This ships the change — opened/closed deltas, a velocity trend, and seniority/function tags — which is the layer intent-data vendors charge $15–50k/yr for. It's also low-maintenance by design: stable public JSON APIs, no headless browser, no anti-bot arms race.

Notes

• Public data only, no PII — reads public job-board listings, never personal information.
• Near-zero maintenance — stable JSON board APIs.
• Point it at any companies you care about, or run the built-in high-growth seed as-is.